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qwen_audio_ties-full-audio_emotion_train_1w5_wo_happy-full – AI Model by liangjh2001 | AlphaNeural AI
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qwen_audio_ties-full-audio_emotion_train_1w5_wo_happy-full
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transformers
tensorboard
safetensors
qwen2_audio
text2text-generation
llama-factory
full
generated_from_trainer
other
endpoints_compatible
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qwen_audio_ties-full-audio_emotion_train_1w5_wo_happy-full
This model is a fine-tuned version of
/GLOBALFS/gznwp_3/qxj/liangjh/mergekit-audio/output/qwen_audio_ties
on the audio_emotion_train_1w5_wo_happy dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 1e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 8
total_eval_batch_size: 64
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 2.0
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.2.0
Tokenizers 0.21.4